On Data-Driven Model Identification for Nonlinear Optimal Control

arXiv:2310.13147 · math.OC, cs.SY, eess.SY · Submitted 2023-10-19 · Read on arXiv

math.OC, cs.SY, eess.SY

Submitted: 2023-10-19

Updated: 2026-09-18

Comments: 21 pages, 12 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• System Identification — 18× in this paper · explained in 3 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• IEEE Conference on Decision and Control — 2× in this paper
• Iterative Linear Quadratic Regulator — 2× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Hilbert Space — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sample Complexity — 1× in this paper · explained in 15 episodes

Sources

• Nonlinear Systems Identification Using Deep Dynamic Neural Networks
• Continuous control with deep reinforcement learning
• Proximal Policy Optimization Algorithms
• On the Search for Feedback in Reinforcement Learning

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